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Tasman South, Tasman, New Zealand 2021
LiDAR was captured for Tasman District Council by Aerial Surveys between 2020 and 2021. The dataset was generated by ASL and their subcontractors. Data management and distribution is by Toitū Te Whenua Land Information New Zealand.
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Tasman Bay, Tasman, New Zealand 2022
공공데이터포털
LiDAR was captured for the Tasman District Council by Aerial Surveys Ltd from 14 October to 7 November 2022. The dataset was generated by Aerial Surveys and their subcontractors. Data management and distribution is by Toitū Te Whenua Land Information New Zealand.
Auckland South, New Zealand 2016
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Lidar was captured for Auckland Council by AAM New Zealand between September 2016 through to June 2017. The original dataset was generated by AAM New Zealand and their subcontractors. The survey area covers the southern Auckland suburbs and regions. Data management and distribution is by Land Information New Zealand.
Queenstown, Otago, New Zealand 2016
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Lidar was captured for Otago Regional Council by Aerial Surveys in Mar 2016 and Apr 2016. The original datasets were generated by Aerial Surveys and their subcontractors. The survey area includes Queenstown, Arrowtown, Frankton and Lake Hayes. Data management and distribution is by Land Information New Zealand. Prepared DEM and DSM files are available through the LINZ Data Service: Queenstown, Otago Digital Elevation Model Queenstown, Otago Digital Surface Model
Canterbury, New Zealand 2016
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Lidar was captured for Environment Canterbury Regional Council by AAM New Zealand in Nov 2016 through to Jan 2017. The original dataset were generated by AAM New Zealand and their subcontractors. The survey area includes Ashburton, Lower Rangitata, Darfield, Hakataramea, Methven, Moeraki, Omarama, Otematata, Rakaia, Rolleston, Tekapo, Waimate. Data management and distribution is by Land Information New Zealand. Prepared DEM and DSM files are available through the LINZ Data Service: Canterbury, New Zealand Digital Elevation Model Canterbury, New Zealand Digital Surface Model
Tas Imagery & LiDAR Program Index
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The Tas Imagery and LiDAR Program Index shows the planning and progress of current and future capture of aerial imagery and LiDAR data procured through the Tasmanian Imagery Program.
Palmerston North, Manawatu-Whanganui, New Zealand 2018
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Lidar was captured for Palmerston North City Council by AAM New Zealand between August and September 2018. The dataset was generated by AAM New Zealand and their subcontractors. The survey area includes city of Palmerston North, Ashhurst, Longburn and the surrounding area. Data management and distribution is by Land Information New Zealand. Prepared DEM and DSM files are available through the LINZ Data Service: Palmerston North, Manawatu-Whanganui, New Zealand 2018 Digital Elevation Model Palmerston North, Manawatu-Whanganui, New Zealand 2018 Digital Surface Model Palmerston North, Manawatu-Whanganui, New Zealand 2018 Raster Tile Index
Tasmanian Flood Recovery 2019
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The Tasmanian Flood Recovery 2019 LiDAR dataset is being collected in 2019 to capture a number of Rural and Human Settlement areas throughout Tasmania. LiDAR data capture began in December 2018 and will be completed by February 2020.
Westport, lidar, New Zealand, LINZ, Aerial Surveys
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Lidar was captured of the Westport area by Aerial Surveys in 2020. The dataset was generated by Aerial Surveys and their subcontractors. The survey area includes Westport and the surrounding area and is part of the all-of-West Coast regional lidar survey, Data management and distribution is by Toitū Te Whenua Land Information New Zealand. Co-funding was provided by the Ministry of Business, Innovation and Employment Provincial Development Unit.
Tasmanian Land Use 2021
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The Tasmanian Land Use 2021 spatial data set is produced at catchment scale and is undertaken through the Australian Collaborative Land Use and Management Program (ACLUMP) using standards set out in the "Guidelines for land use mapping in Australia: principles, procedures and definitions, 4th edition 2011" and "Addendum to the Guidelines for land use mapping in Australia: principles, procedures and definition, 4th Edition". Land use is classified by its prime use using a hierarchical structure, Australian Land Use and Management (ALUM) Classification version 8, allowing land uses to be attributed as broad classes to individual commodities where possible. This produces nationally consistent land use mapping to inform, support and enable innovation and action in response to economic, social and environmental challenges. Land use information shows how we use the landscape, whether that is for food production, forestry, nature conservation, water storage or urban development. The 2021 data set has been derived through a modelling spatial analysis process of ancillary data sets, interpretation from imagery (Google Earth, State Orthophoto and Landsat composite) and expert knowledge and data from stakeholders. The modelling process, previously used for the Tasmanian Land Use 2019, was updated for the 2021 dataset and continues to allow a repeatable process for future iterations of land use mapping. The land use mapping coverage is available for mixed dates at a scale that varies according to the intensity of land use activities and landscape context. This iteration of land use mapping has been predominately updated in areas of nature conservation, managed resource protection, perennial horticulture, irrigation and plantation forests. Land use mapping is completed to the ALUM secondary and tertiary level with commodity information where available. The Australian Land Use and Management (ALUM) Classification has a three-tiered hierarchical structure. Primary, secondary and tertiary classes are broadly structured by the potential degree of modification and the impact on a putative "natural state" (essentially, a native land cover). Primary and secondary classes relate to land use - the main use of the land, defined by the management objectives of the land manager. Tertiary classes can include commodity groups, specific commodities, land management practices or vegetation information. Tertiary-level data are particularly valuable in many natural resource planning and management applications but are often expensive to collect. The ALUM Classification includes six primary classes. The five primary classes of land use are distinguished in order of increasing levels of intervention or potential impact on the natural landscape. Water is also included as a sixth primary class. The primary classes of land use in the ALUM Classification are: 1. Conservation and natural environments - land used primarily for conservation purposes, based on maintaining the essentially natural ecosystems present 2. Production from relatively natural environments - land used mainly for primary production with limited change to the native vegetation 3. Production from dryland agriculture and plantations - land used mainly for primary production based on dryland farming systems 4. Production from irrigated agriculture and plantations - land used mostly for primary production based on irrigated farming 5. Intensive uses - land subject to extensive modification, generally in association with closer residential settlement, commercial or industrial uses 6. Water - water features (water is regarded as an essential aspect of the classification, even though it is primarily a land cover type, not a land use)
Drone Lidar Data from TERN plots across Australia
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This dataset is a collection of drone lidar data from plots across Australia (AusPlots, SuperSites, Cal/Val sites to be established in the future). The aim of these drone surveys is to capture vegetation structure. The standardised data collection and data processing protocols developed in 2022 are based on the DJI Matrice 300 (M300) RTK drone platform. Lidar sensor DJI Zenmuse L1 is used with DJI Matrice 300 (M300) RTK platform to capture RGB colourised 3D point clouds. The data is georeferenced using the onboard GNSS in M300 and the D-RTK 2 base station. DJI Terra software was used to generate 3D point clouds from the raw lidar data. The protocols include flight planning and data collection guidelines for a 100 x 100 m TERN plot, and the processing workflow used on DJI Terra. Mission-specific metadata for each plot is provided in the imagery/metadata folder (please refer to the imagery collection). The Drone Data Collection and Lidar Processing protocols can be found at https://www.tern.org.au/field-survey-apps-and-protocols/ .